STARNet: A Deep‐Learning Algorithm for Surface Shortwave Radiation Retrieval From Fengyun‐4A
Abstract Satellite‐retrieved surface shortwave radiation is indispensable to solar energy meteorology applications. In stark contrast to conventional irradiance retrieval algorithms that are confined to individual pixel information, this work proposes the STARNet (Spatio‐Temporal Association‐based R...
Saved in:
Main Authors: | Mengmeng Song, Dazhi Yang, Hongrong Shi, Yun Chen, Bai Liu, Yanbo Shen, Zijing Ding, Xiang'ao Xia |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-07-01
|
Series: | Geophysical Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1029/2025GL116237 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Change Information Retrieval Method for Energy Infrastructure Based on Optical Remote Sensing Images
by: Zhibao Wang, et al.
Published: (2025-01-01) -
Planning and engineering of shortwave links
by: Braun, Gerhard
Published: (1982) -
Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features
by: Mingqi Li, et al.
Published: (2025-08-01) -
Impact of All-Sky Assimilation of Multichannel Observations from Fengyun-3F MWHS-II on Typhoon Forecasting
by: Tianheng Wang, et al.
Published: (2025-06-01) -
Spatiotemporal Characteristics and Associated Circulation Features of Summer Extreme Precipitation in the Yellow River Basin
by: Degui Yao, et al.
Published: (2025-07-01)